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JISC Managing Research Data Programme Simon Hodson JISC Programme Manager, Managing Research Data Thursday 26 January 2012 SIM4RDM Launch Meeting, Aston.

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Presentation on theme: "JISC Managing Research Data Programme Simon Hodson JISC Programme Manager, Managing Research Data Thursday 26 January 2012 SIM4RDM Launch Meeting, Aston."— Presentation transcript:

1 JISC Managing Research Data Programme Simon Hodson JISC Programme Manager, Managing Research Data Thursday 26 January 2012 SIM4RDM Launch Meeting, Aston

2 Waves and deluges… A Surfboard for Riding the Wave, a four country action programme on research data STRUCTURAL FRAMEWORKS FOR OPEN, DIGITAL RESEARCH - STRATEGY, POLICY & INFRASTRUCTURE: ?id=113

3 Research Data Challenges Challenges: the ‘data deluge’… huge quantities of digital data –But it’s not just about addressing storage issues. Opportunities: data reuse, meta-studies, interdisciplinary grand challenges. –Increasing awareness of research data as an asset. –Digital research data has reuse value - important to obtain full return on public investment. Results in policy drivers from funders. –Need improved knowledge of how best to realise these policies. Increasing emphasis on the role of universities and research institutions to provide infrastructure and support for RDM.

4 Drivers: Research Funder Policies Public investment requires that research data should be made available for verification and reuse. RCUK Common Principles on Data Policy: 1.Public good: Publicly funded research data are produced in the public interest should be made openly available with as few restrictions as possible 2.Planning for preservation: Institutional and project specific data management policies and plans needed to ensure valued data remains usable 3.Discovery: Metadata should be available and discoverable; Published results should indicate how to access supporting data 4.Confidentiality: Research organisation policies and practices to ensure legal, ethical and commercial constraints assessed; research process should not be damaged by inappropriate release 5.First use: Provision for a period of exclusive use, to enable research teams to publish results 6.Recognition: Data users should acknowledge data sources and terms & conditions of access 7.Public funding: Use of public funds for RDM infrastructure is appropriate and must be efficient and cost-effective. Increasing responsibility for RDM being placed on Universities

5 Drivers: Research Funder Policies Summary of UK Funders’ Data Polices: and-legal/overview-funders-data-policies and-legal/overview-funders-data-policies Most funders require applicants to submit data management and sharing plans at grant proposal stage. –NERC will require DMP from 2012; introducing notion of a ‘data value checklist’ –ESRC require a plan to be submitted electronically with the grant EPSRC places responsibility on institutions to develop a data policy and roadmap –Research organisations will ensure that EPSRC-funded research data is securely preserved for a minimum of 10-years … from last date on which access to the data was requested by a third party –Requires research institutions to ‘ensure that effective data curation is provided throughout the full data lifecycle, with ‘data curation’ and ‘data lifecycle’ being as defined by the Digital Curation Centre’ Increasing responsibility being placed on Universities.

6 Research Data Management: University of Edinburgh Roadmap Research Integrity, London - Sept 20116 LEVEL PhD student university research team individual researcher supra- university Where do I safely keep my data from my fieldwork, as I travel home? How can I best keep years worth of research data secure and accessible for when I and others need to re-use it? How do we ensure compliance to funders’ requirement for several years of open access to data? How do we ensure we have access to our research data after some of the team have left? How can our research collaborations share data, and make them available once complete? Seeking win + win + win + win + win……

7 Supporting the Research Data Lifecycle PlanCreateUseAppraisePublishDiscoverReuse Store Annotate Select Discard Describe Identify Hand Over? Access

8 Supporting the Research Data Lifecycle PlanCreateUseAppraisePublishDiscoverReuse Store Annotate Select Discard Describe Identify Hand Over? Access Leadership and Policy Development Guidance and Training Support for Data Management Planning RDM Systems and Infrastructure Publication and Citation Mechanisms

9 Interventions Model

10 Digital Curation Centre DCC: ‘The Digital Curation Centre is the UK’s leading hub of expertise in curating digital research data.’ Briefing Papers and How-To Guides. Data Management Tools (DMPonline, DAF, CARDIO) Regional Data Management Roadshows. Engagement with 13-18 Universities International Digital Curation Conference

11 JISC Managing Research Data Programme First JISC MRD Programme, 2009-11: £4.3M Policy, support and infrastructure (eight projects). Training and skills (six projects). Disciplinary RDM planning requirements (six projects). Citation and publication challenges (eight projects). Support projects and reports. JISC MRD Outputs Page:

12 JISC Managing Research Data Programme 2011-13:

13 JISC Managing Research Data Programme Second JISC MRD Programme, 2011-13: agement/managingresearchdata.aspx agement/managingresearchdata.aspx £4.6M Policy, support and infrastructure (seventeen projects). Disciplinary RDM planning requirements (ten projects). Enhancing DMPonline planning tool (two projects). Further work TBA Jan 2012 on data publication and training/skills development.

14 Infrastructure Projects Strand A: Infrastructure Projects Infrastructure in the broad sense: policy, support and guidance, RDM systems Large, 18 month projects to pilot or embed an RDM infrastructure and support service 9 projects piloting new RDM infrastructures 4 projects enhancing and extending RDM infrastructures 3 projects developing or enhancing disciplinary RDM infrastructures 1 project developing infrastructure with a focus on metadata JISC Website, Infrastructure Projects: JISCMRD Blog, Infrastructure Projects:

15 Planning Projects Strand B and C: Planning Projects Helping researchers, research groups and departments meet funder requirements Exploring disciplinary challenges associated with data management planning (and the execution of those plans) 8 6-month projects developing data mangement plans and infrastructure to implement them 2 12-month projects enhancing DCC’s DMPonline to meet disciplinary and institutional needs JISC Website, Planning Projects: JISC Website, DMPonline Projects: JISCMRD Blog, Planning Projects:

16 Call for Projects in late January 2012… Research Data Publications (320K for 2-4 projects)  Building partnerships between researchers, editorial boards, scholarly societies, data centres and publishers  Encouraging publication and citation of data Research Data Management Training (300K for c.5 projects; 80K support project)  Training programmes for specific disciplines  Training programmes for support roles  Partnerships with professional bodies  Recommendations for curriculum development

17 JISCMRD Programme Timescales

18 JISC funds programmes, not collections of projects JISC programmes are more than the sum of their parts

19 Key JISCMRD Events Workshop for RDM Planning Projects, March 2012  Focus on demonstrating project outputs British Library DataCite workshops  A series of five workshops open to JISCMRD projects and other interested parties Targeted workshops where useful  High level summit on institutional data management policies  Metadata workshop, April or May. Workshop for RDM Infrastructure Projects and ‘fellow travellers’, TBC, July or Sept 2012  Focus on support infrastructures, communicating lessons to institutions outside the programme, summarising early benefits work JISCMRD Conference, March 2013  Large, international event


21 JISCMRD Programme Evidence Gathering Building evidence for project business cases. Building evidence for benefits at a programme level. Identify likely benefits; identify likely evidence and metrics. Present these via blogs and reports to form an evidence base. Evidence Gatherers’ Blog:

22 JISCMRD Programme Communications Project websites and blogs: and Google Reader feed bundle for MRD programme blogs: Twitter tag: #jiscmrd

23 Requirements Analyses Data assets of research done in Universities often comprises small, labour intensive data. Storage and curation of data falls, for the most part, falls very far short of good practice. Key JISC reports: –Dealing with Data: g_with_data_report-final.pdf g_with_data_report-final.pdf –Keeping Research Data Safe: pingresearchdatasafe0408.pdf pingresearchdatasafe0408.pdf –UKRDS Scoping Study: JISCMRD Requirements Analyses (current practices, researchers attitudes, requirements). –Oxford, Sudamih: : –Cambridge, Incremental: –Southampton, Institutional Data Management Blueprint: –Manchester MaDAM : Landscape Review (policies, legal and ethical perspectives); Requirements and gap analysis; Technologies review:

24 What is current practice in UK Universities? ‘Departments typically don’t have guidelines or norms for personal back-up and researcher procedure, knowledge and diligence varies tremendously. Many have experienced moderate to catastrophic data loss.’ –Incremental Project Scoping Study and Implementation Plan 70910.pdf 70910.pdf ‘The current environment is such that responsibility for good data management is devolved to individual researchers and in practice PIs set the 'rules' and establish the cultural practices of the research groups and this means there is good data management practice going on in pockets but no consistency across groups. There is also consequently a high risk of data losses by a number of means’. –MaDAM Project Requirements Analysis v1.4-FINAL.pdf v1.4-FINAL.pdf

25 Leadership and Policy Development Projects identified need for senior support within the institutional, governance and responsibility to be mapped, to engage with institutional stakeholders  MaDAM Project identified having senior champions as a necessity; established a high level steering group  Work on policy development, governance and engagement with institutional stakeholders to be taken forward in new programme.

26 Guidance and Training Projects identified researchers’ need for guidance, easily accessible information and training  Incremental Project found that researchers 'require clearer, readily available guidance and practical support to manage their data effectively.' The project focused on making guidance accessible and easy to understand. Incremental final report

27 Support for Data Management Planning Projects identified need for support with meeting funders requirements for data management plans  MaDAM pilot system provided 'in-tool' support for development and execution of DMPs, comprising help pages, intelligent functions (automatic review dates) and exchange of information administrative systems allowing pre-population. MaDAM Benefits Analysis

28 RDM Systems and Infrastructure Projects identified need for RDM systems which integrate effectively with existing practice  ADMIRAL 'created tools and services' to improve local RDM, in ways that directly benefit researchers and 'that fit with their normal working practices and that impose as little as possible in terms of cognitive overhead – what we term sheer curation.' ADMIRAL Final Report

29 Publication and Citation Mechanisms Projects identified need publication and citation mechanisms in order to help researchers to obtain benefits for data sharing  ‘There will be little recognition for good practice curation and sharing of research data unless the practice of citing data used is better encouraged and standard formats and mechanisms for data citation developed. ADMIRAL addresses this by working with the British Library to provide for Digital Object Identifiers (DOIs) to be assigned to published datasets.’  ‘The deposit of a dataset with the repository will fall into three categories, in which increasing levels of benefit are offered to the depositor in return for an increasing willingness to share the dataset. This is thus a “carrot” to encourage openness and data sharing. Measurements of the number of data requests or downloads from each category will provide feedback on the usefulness of this approach.’ FISHnet Project

30 Institutional Research Data Management Policies See DCC on institutional data management policies: data-policies data-policies –University of Edinburgh Research Data Management Policy: services/about/policies-and-regulations/research-data-policy services/about/policies-and-regulations/research-data-policy –University of Oxford Commitment to Research Data Management: –University of Hertfordshire: http://research-data- –University of Northampton: research/1606/research-data-policy research/1606/research-data-policy

31 Institutional Research Data Management Policies University of Edinburgh Research Data Management Policy: Key Elements Research data should be managed to the highest standards throughout the research data lifecycle as part of the University's commitment to research excellence. The University should provide training, support and advice, as well as mechanisms and services for storage, backup, registration, deposit and retention of research data assets in support of current and future access, during and after completion of research projects. Responsibility for research data management through a sound research data management plan during any research project or programme lies primarily with PIs. All new research proposals must include research data management plans or protocols that explicitly address data capture, management, integrity, confidentiality, retention, sharing and publication. Research data management plans must ensure that research data are available for access and re-use, where appropriate and under appropriate safeguards. Research data of future historical interest, and all research data that represent records of the University, including data that substantiate research findings, should be offered and assessed for deposit and retention in an appropriate national or international data service or domain repository, or a University repository. Such research data deposited elsewhere should be registered with the University.

32 Guidance Materials (JISCMRD Programme) Incremental Project, collaboration between Glasgow and Cambridge, concentrated on providing guidance and training materials at an institutional level; focus on arts and humanities, social sciences, archaeology, social anthropology: l/index.html l/index.html Cambridge: Glasgow: Workshops and Seminars covering ethics, FoI, IPR, new technologies: l/seminars.html l/seminars.html Interviews from Seminars: – ml#Interviews ml#Interviews – ent/training/videos/ ent/training/videos/ Incremental Project Blog:

33 JISCMRD Training Projects Need for subject focussed research data management / curation training, integrated with PG studies Five projects to design and pilot (reusable) discipline- focussed training units for postgraduate courses: n.aspx n.aspx Health studies: mes/rmarea/datum/ mes/rmarea/datum/ Creative arts: Archaeology, social anthropology: Psychological sciences: Social sciences, geographical sciences, clinical psychology: Project ; Online course:

34 MANTRA Training Materials, University of Edinburgh Online course built using OS Xerte toolkit. Sections include: –DMPs –Organising Data –File Formats and Transformation –Documentation and Metadata –Storage and Security –Data Protection –Preservation, sharing and licensing Also software practicals for users of SPSS, R, ArcGIS, Nvivo Research Data MANTRA: a/ a/

35 Understanding the challenges of meeting funder requirements: DMP-ESRC Project Led by UK Data Archive: manage/projects/jisc-dmp manage/projects/jisc-dmp Study of data management practices in ESRC funded Centres and Programmes. Data Management Recommendations: grammes.pdf grammes.pdf –Clear roles and responsibilities; RDM coordinator; Data Inventory; Data Management Resources Library. –Guidelines on anonymisation, security and backup etc. –Greater use of collaborative environments; improve usability and training. Data Management Costing Tool: Projects to understand challenges of meeting funder requirements: Social Sciences, Engineering, Medical Research, Plant Microscopy, Gravitational Wave Astronomy, Interdisciplinary:

36 Data Management Planning for engineering and manufacturing research, IdMRC and UKOLN, Bath: Study of RDM challenges and potential in engineering and manufacturing research. Data extremely heterogeneous: materials analysis, modeling, interviews; varied conditions of use etc. Requirements for improved RDM; model Data Management Plan for IdMRC Projects Recommendations: –Data management needs to be supported by appropriate tools/personnel, or balanced by immediate benefits. –Important role of data manager in research centres needs to be examined closely, resourced if necessary. –Greater use of collaborative environments. –Suggested software for mapping information development in engineering projects. Understanding the challenges of meeting funder requirements: ERIM Project

37 RDM Platforms and Infrastructure Infrastructure Projects: grammes/mrd/rdmi.aspx grammes/mrd/rdmi.aspx Holistic approach to infrastructure. Projects focusing on disciplinary requirements. Projects piloting systems in institutions. FISHnet Project, freshwater biology: MaDAM Project, biomedical research in an institutional context:

38 How MaDAM Met User Requirements MaDAM met identified user requirements by: providing an accessible and simple platform for the organization and annotation of research data providing trusted secure storage to reduce risks of data loss providing a mechanism to make metadata visible and searchable facilitating easier, more secure owner-controlled data sharing reducing redundancy/duplication by making existing resources easier to discover maintaining media format accessibility for long-term reuse enabling compliance with legal and funder obligations

39 RDM Infrastructure: MISS MiSS (MaDAM into Sustainable Service): http://www.miss. / http://www.miss. / Policy, guidance, training, extending infrastructure, ensuring sustainability and transparent costing. ‘I see MiSS as a transitional project (rather than a continuation to MaDAM) – we’re tasked with moving from pilot to service; and I firmly believe it’s our responsibility to do this in full view of the wider community.

40 Making the Case: recognition, rewards, benefits Data Citation –DCC How To Cite Datasets and Link to Publications: –BL is a founding member of DataCite –Currently have DataCite user group –BL/DCC DataCite suppport project, series of five workshops working with JISCMRD Projects

41 Dryad: a repository for supporting research data Joint declarations, Feb 2010, in American Naturalist, Evolution, the Journal of Evolutionary Biology, Molecular Ecology, Heredity, and other key journals in evolution and ecology: This journal requires, as a condition for publication, that data supporting the results in the paper should be archived in an appropriate public archive, such as GenBank, TreeBASE, Dryad, or the Knowledge Network for Biocomplexity. Allows embargos of up to one year; allows exceptions for, e.g., sensitive information such as human subject data or the location of endangered species. Data that have an established standard repository, such as DNA sequences, should continue to be archived in the appropriate repository, such as GenBank. For more idiosyncratic data, the data can be placed in a more flexible digital data library such as the National Science Foundation- sponsored Dryad archive at'

42 Dryad-UK: a repository for supporting research data Dryad-UK Expand the number of journals: BMJ Open, titles from PLoS and BioMed Central: Prepare a business model for long term funding of the data repository: supported by payments from journals, in turn recouped from subscription or author-pays OA fees. Costs Estimate costs of archiving (curation and preservation) datasets in Dryad: $25-75 per publication Estimate full costs of research and publication per OA article: $2500 Costs of data archiving in Dryad 1-3% of costs of producing the article. See Piwowar and Vision ‘Open Data and the Social Contract of Scientific Publishing’ Research Funder Research Project Gold OA Fee JournalRepository

43 JISC/UMF Shared Services and the Cloud Programme JISC/UMF Shared Service and Cloud Programme: –Exploring ways of achieving efficiencies through RDM in trusted clouds. JANET(UK) brokerage to create trusted cloud(s) for HE. Pilot Cloud provided by Eduserv. Augment the role of DCC (in part to deploy tools in the cloud). Four RDM applications developed to be deployed as Software as a Service.

44 RDM SaaS Applications VIDaaS (Virtual Infrastructure for Database as a Service), University of Oxford: DataFlow, University of Oxford: Smart Research Framework (chemistry, crystallography), University of Southampton: Biomedical Research Infrastructure (BRISSkit), University of Leicester:

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